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4th INTERNATIONAL WINTER SCHOOL ON BIG DATA
BigDat 2018
Timișoara, Romania
January 22-26, 2018
Organized by:
West University of Timișoara
Rovira i Virgili University
http://grammars.grlmc.com/BigDat2018/
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SCOPE:
BigDat 2018 will be a research training event with a global scope aiming at
updating participants about the most recent advances in the critical and fast
developing area of big data, which covers a large spectrum of current exciting
research and industrial innovation with an extraordinary potential for a huge
impact on scientific discoveries, medicine, engineering, business models, and
society itself. Renowned academics and industry pioneers will lecture and share
their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure,
management, search and mining, security and privacy, and applications (to
biological and health sciences, to business, finance and transportation, to
online social networks, etc.). Major challenges of analytics, management and
storage of big data will be identified through 2 keynote lectures, 24 five hour
and fifteen minute-courses, and 1 round table, which will tackle the most
active and promising topics. The organizers are convinced that outstanding
speakers will attract the brightest and most motivated students. Interaction
will be a main component of the event.
An open session will give participants the opportunity to present their own
work in progress in 5 minutes. Also, there will be two special sessions with
industrial and recruitment profiles.
ADDRESSED TO:
Master students, PhD students, postdocs, and industry practitioners will be
typical profiles of participants. However, there are no formal pre-requisites
for attendance in terms of academic degrees. Since there will be a variety of
levels, specific knowledge background may be assumed for some of the courses.
Overall, BigDat 2018 is addressed to students, researchers and practitioners
who want to keep themselves updated about recent developments and future
trends. All will surely find it fruitful to listen and discuss with major
researchers, industry leaders and innovators.
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be
able to freely choose the courses they wish to attend as well as to move from
one to another.
VENUE:
BigDat 2018 will take place in Timișoara, which has been nominated one of the
European Capitals of Culture in 2021. The venue will be:
Universitatea de Vest
Blvd. Vasile Parvân, nr. 4
300223 Timișoara
KEYNOTE SPEAKERS: (to be completed)
tba
PROFESSORS AND COURSES: (to be completed)
Paul Bliese (University of South Carolina), [introductory/intermediate] Using R
for Mixed-effects (Multilevel) Models
Hendrik Blockeel (KU Leuven), [intermediate] Decision Trees for Big Data
Analytics
Diego Calvanese (Free University of Bozen-Bolzano), tba
Geoffrey C. Fox (Indiana University, Bloomington), tba
Minos Garofalakis (Technical University of Crete), tba
David W. Gerbing (Portland State University), [introductory] Data Visualization
with R
Xiaohua Tony Hu (Drexel University), [introductory/advanced] Big Data Analysis
in Microbiome Study
Maurizio Lenzerini (Sapienza University of Rome), [intermediate/advanced]
Semantic Technologies for Open Data Publishing
Bing Liu (University of Illinois, Chicago), [intermediate/advanced] Lifelong
Learning and its Application to NLP
Folker Meyer (Argonne National Laboratory), tba
Wladek Minor (University of Virginia), tba
Raymond Ng (University of British Columbia), tba
Hanan Samet (University of Maryland, College Park), [introductory/intermediate]
Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for
Applications in Spatial Databases, Geographic Information Systems (GIS), and
Location-based Services
Jaideep Srivastava (Qatar Computing Research Institute), tba
Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That
Aren't Machine Learning
Haixun Wang (Facebook), [intermediate/advanced] Understanding Natural Language:
End-to-end and Structure Learning Approaches
Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced]
Mining Big Networked Data
OPEN SESSION
An open session will collect 5-minute voluntary presentations of work in
progress by participants. They should submit a half-page abstract containing
title, authors, and summary of the research to david.silva409 (at) yahoo.com by
January 15, 2018.
INDUSTRIAL SESSION:
A session will be devoted to demonstrations of practical applications of big
data in industry. Companies interested in contributing are welcome to submit a
1-page abstract containing the program of the demonstration, the duration
requested and the logistics necessary. At least one of the people participating
in the demonstration should have registered for the event. Expressions of
interest have to be submitted to david.silva409 (at) yahoo.com by January 15,
2018.
EMPLOYER SESSION:
Firms searching for personnel well skilled in big data will have a space
reserved for one-to-one contacts. At least one of the people in charge of the
search should have registered for the event. Expressions of interest have to be
submitted to david.silva409 (at) yahoo.com by January 15, 2018.
ORGANIZING COMMITTEE:
Carlos Martín-Vide (co-chair)
Viorel Negru
Manuel J. Parra Royón
Dana Petcu
Monica Sancira (co-chair)
David Silva
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/BigDat2018/registration.php
The selection of up to 8 courses requested in the registration template is only
tentative and non-binding. For the sake of organization, it will be helpful to
have an approximation of the respective demand for each course. During the
event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will be
closed and the on-line registration facility disabled if the capacity of the
venue is exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early
registration deadlines. Fees depend on the registration deadline.
ACCOMMODATION:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
Participants will be delivered a certificate of attendance indicating the
number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david.silva409 (at) yahoo.com
ACKNOWLEDGMENTS:
Universitatea de Vest din Timișoara
Universitat Rovira i Virgili